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Date of publication XXX 00, 0000, date of current version XXX 00, 0000. Digital Object Identifier 10.1109/ACCESS.2022. DOI Number Preparation of Papers for IEEE Access (February 2022) First A. Author1,
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How to fill out small target detection model

01
Collect a dataset of images containing small targets
02
Preprocess the images to enhance the visibility of small targets
03
Select a suitable model architecture for small target detection
04
Train the model using the prepared dataset
05
Fine-tune the model to improve its performance
06
Evaluate the model on a separate test dataset
07
Deploy the model for small target detection tasks

Who needs small target detection model?

01
Military personnel for surveillance and reconnaissance purposes
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Search and rescue teams for locating missing persons in large areas
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Security personnel for monitoring and detecting suspicious activities
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Meteorologists for tracking severe weather patterns

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The small target detection model is a system or algorithm used to identify and locate small objects or targets within a larger scene or image.
Companies or individuals who are involved in industries where small target detection is crucial, such as defense, surveillance, or medical imaging, may be required to file a small target detection model.
The small target detection model is typically filled out by providing data or input to the system, configuring the parameters for detection, and running the model to identify small targets.
The purpose of the small target detection model is to enhance detection capabilities and improve the accuracy of identifying small objects or targets within a given context.
The information reported on a small target detection model may include the type of targets being detected, the accuracy of detection, any false positives or negatives, and any relevant parameters used in the model.
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